Loading...
Loading...
Found 6,993 Skills
Operate execution flow across GitHub and Linear by triaging issues and pull requests, linking active work, and keeping GitHub public-facing while Linear remains the internal execution layer. Use when the user wants backlog control, PR triage, or GitHub-to-Linear coordination.
Use coroutines, Flow, structured concurrency, dispatchers, and cancellation-safe Android async pipelines.
Implementing FlowLayout in Windows Forms to automatically arrange child components horizontally or vertically. Use this when working with automatic control layouts, responsive form designs, or dynamic control arrangement. Covers spacing configuration, alignment modes, control constraints, and layout positioning.
Upstash Workflow implementation guide. Use when creating async workflows with QStash, implementing fan-out patterns, or building 3-layer workflow architecture (process → paginate → execute).
Four slash commands for documentation lifecycle: /docs, /docs-init, /docs-update, /docs-claude. Create, maintain, and audit CLAUDE.md, README.md, and docs/ structure with smart templates. Use when: starting new projects, maintaining documentation, auditing docs for staleness, or ensuring CLAUDE.md matches project state.
End-to-end workflow for creating complete JavaScript concept documentation, orchestrating all skills from research to final review
Develop workflows, custom nodes, and integrations for n8n automation platform
Use when symfony daily workflow
GitOps workflows and patterns using ArgoCD and Flux for declarative Kubernetes deployments. Use when implementing CI/CD for Kubernetes, managing multi-environment deployments, or adopting declarative infrastructure practices.
AI-Driven Specification-Driven Development (SDD) workflow orchestrator - guides skill selection and general SDD methodology
Add, review, or remove inline custom scripts on a Webflow site (up to 10,000 chars). Use for analytics, tracking pixels, chat widgets, or any custom JavaScript.
Onboards users to MLflow by determining their use case (GenAI agents/apps or traditional ML/deep learning) and guiding them through relevant quickstart tutorials and initial integration. If an experiment ID is available, it should be supplied as input to help determine the use case. Use when the user asks to get started with MLflow, set up tracking, add observability, or integrate MLflow into their project. Triggers on "get started with MLflow", "set up MLflow", "onboard to MLflow", "add MLflow to my project", "how do I use MLflow".